quadFuncCalc | R Documentation |
Calculate the dependent variable of a quadratic function.
quadFuncCalc( xNames, data, coef, shifterNames = NULL, homWeights = NULL )
xNames |
a vector of strings containing the names of the independent variables. |
data |
dataframe or a vector with named elements containing the data. |
coef |
vector containing all coefficients:
if there are |
shifterNames |
a vector of strings containing the names of the independent variables that should be included as shifters only (not in quadratic or interaction terms). |
homWeights |
numeric vector with named elements that are weighting factors
for calculating an index that is used to normalize the variables
for imposing homogeneity of degree zero in these variables
(see documentation of |
a vector containing the endogenous variable.
Arne Henningsen
quadFuncEst
and quadFuncDeriv
.
data( germanFarms ) # output quantity: germanFarms$qOutput <- germanFarms$vOutput / germanFarms$pOutput # quantity of variable inputs germanFarms$qVarInput <- germanFarms$vVarInput / germanFarms$pVarInput # a time trend to account for technical progress: germanFarms$time <- c(1:20) # estimate a quadratic production function estResult <- quadFuncEst( "qOutput", c( "qLabor", "land", "qVarInput", "time" ), germanFarms ) quadFuncCalc( c( "qLabor", "land", "qVarInput", "time" ), germanFarms, coef( estResult ) ) #equal to estResult$fitted
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